Dosen, Strahinja

[["dc.bibliographiccitation.artnumber","55"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of NeuroEngineering and Rehabilitation"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Markovic, Marko"],["dc.contributor.author","Somer, Kelef"],["dc.contributor.author","Graimann, Bernhard"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2019-07-09T11:41:46Z"],["dc.date.available","2019-07-09T11:41:46Z"],["dc.date.issued","2015"],["dc.description.abstract","Background Active hand prostheses controlled using electromyography (EMG) signals have been used for decades to restore the grasping function, lost after an amputation. Although myocontrol is a simple and intuitive interface, it is also imprecise due to the stochastic nature of the EMG recorded using surface electrodes. Furthermore, the sensory feedback from the prosthesis to the user is still missing. In this study, we present a novel concept to close the loop in myoelectric prostheses. In addition to conveying the grasping force (system output), we provided to the user the online information about the system input (EMG biofeedback). Methods As a proof-of-concept, the EMG biofeedback was transmitted in the current study using a visual interface (ideal condition). Ten able-bodied subjects and two amputees controlled a state-of-the-art myoelectric prosthesis in routine grasping and force steering tasks using EMG and force feedback (novel approach) and force feedback only (classic approach). The outcome measures were the variability of the generated forces and absolute deviation from the target levels in the routine grasping task, and the root mean square tracking error and the number of sudden drops in the force steering task. Results During the routine grasping, the novel method when used by able-bodied subjects decreased twofold the force dispersion as well as absolute deviations from the target force levels, and also resulted in a more accurate and stable tracking of the reference force profiles during the force steering. Furthermore, the force variability during routine grasping did not increase for the higher target forces with EMG biofeedback. The trend was similar in the two amputees. Conclusions The study demonstrated that the subjects, including the two experienced users of a myoelectric prosthesis, were able to exploit the online EMG biofeedback to observe and modulate the myoelectric signals, generating thereby more consistent commands. This allowed them to control the force predictively (routine grasping) and with a finer resolution (force steering). The future step will be to implement this promising and simple approach using an electrotactile interface. A prosthesis with a reliable response, following faithfully user intentions, would improve the utility during daily-life use and also facilitate the embodiment of the assistive system."],["dc.identifier.doi","10.1186/s12984-015-0047-z"],["dc.identifier.pmid","26088323"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12335"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58507"],["dc.language.iso","en"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/286208/EU//MYOSENS"],["dc.relation.euproject","MYOSENS"],["dc.rights.access","openAccess"],["dc.rights.holder","Dosen et al."],["dc.title","EMG Biofeedback for online predictive control of grasping force in a myoelectric prosthesis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Frontiers in Neurorobotics"],["dc.bibliographiccitation.volume","15"],["dc.contributor.affiliation","Mouchoux, Jérémy; 1Applied Rehabilitation Technology Lab, Department of Trauma Surgery, Orthopedics and Plastic Surgery, University Medical Center Göttingen, Georg-August University, Göttingen, Germany"],["dc.contributor.affiliation","Bravo-Cabrera, Miguel A.; 1Applied Rehabilitation Technology Lab, Department of Trauma Surgery, Orthopedics and Plastic Surgery, University Medical Center Göttingen, Georg-August University, Göttingen, Germany"],["dc.contributor.affiliation","Dosen, Strahinja; 2Faculty of Medicine, Department of Health Science and Technology Center for Sensory-Motor Interaction, Aalborg University, Aalborg, Denmark"],["dc.contributor.affiliation","Schilling, Arndt F.; 1Applied Rehabilitation Technology Lab, Department of Trauma Surgery, Orthopedics and Plastic Surgery, University Medical Center Göttingen, Georg-August University, Göttingen, Germany"],["dc.contributor.affiliation","Markovic, Marko; 1Applied Rehabilitation Technology Lab, Department of Trauma Surgery, Orthopedics and Plastic Surgery, University Medical Center Göttingen, Georg-August University, Göttingen, Germany"],["dc.contributor.author","Mouchoux, Jérémy"],["dc.contributor.author","Bravo-Cabrera, Miguel A."],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Schilling, Arndt F."],["dc.contributor.author","Markovic, Marko"],["dc.date.accessioned","2022-02-01T10:31:40Z"],["dc.date.available","2022-02-01T10:31:40Z"],["dc.date.issued","2021"],["dc.date.updated","2022-02-09T13:20:13Z"],["dc.description.abstract","Semi-autonomous (SA) control of upper-limb prostheses can improve the performance and decrease the cognitive burden of a user. In this approach, a prosthesis is equipped with additional sensors (e.g., computer vision) that provide contextual information and enable the system to accomplish some tasks automatically. Autonomous control is fused with a volitional input of a user to compute the commands that are sent to the prosthesis. Although several promising prototypes demonstrating the potential of this approach have been presented, methods to integrate the two control streams (i.e., autonomous and volitional) have not been systematically investigated. In the present study, we implemented three shared control modalities (i.e., sequential, simultaneous , and continuous ) and compared their performance, as well as the cognitive and physical burdens imposed on the user. In the sequential approach, the volitional input disabled the autonomous control. In the simultaneous approach, the volitional input to a specific degree of freedom (DoF) activated autonomous control of other DoFs, whereas in the continuous approach, autonomous control was always active except for the DoFs controlled by the user. The experiment was conducted in ten able-bodied subjects, and these subjects used an SA prosthesis to perform reach-and-grasp tasks while reacting to audio cues (dual tasking). The results demonstrated that, compared to the manual baseline (volitional control only), all three SA modalities accomplished the task in a shorter time and resulted in less volitional control input. The simultaneous SA modality performed worse than the sequential and continuous SA approaches. When systematic errors were introduced in the autonomous controller to generate a mismatch between the goals of the user and controller, the performance of SA modalities substantially decreased, even below the manual baseline. The sequential SA scheme was the least impacted one in terms of errors. The present study demonstrates that a specific approach for integrating volitional and autonomous control is indeed an important factor that significantly affects the performance and physical and cognitive load, and therefore these should be considered when designing SA prostheses."],["dc.description.abstract","Semi-autonomous (SA) control of upper-limb prostheses can improve the performance and decrease the cognitive burden of a user. In this approach, a prosthesis is equipped with additional sensors (e.g., computer vision) that provide contextual information and enable the system to accomplish some tasks automatically. Autonomous control is fused with a volitional input of a user to compute the commands that are sent to the prosthesis. Although several promising prototypes demonstrating the potential of this approach have been presented, methods to integrate the two control streams (i.e., autonomous and volitional) have not been systematically investigated. In the present study, we implemented three shared control modalities (i.e., sequential, simultaneous , and continuous ) and compared their performance, as well as the cognitive and physical burdens imposed on the user. In the sequential approach, the volitional input disabled the autonomous control. In the simultaneous approach, the volitional input to a specific degree of freedom (DoF) activated autonomous control of other DoFs, whereas in the continuous approach, autonomous control was always active except for the DoFs controlled by the user. The experiment was conducted in ten able-bodied subjects, and these subjects used an SA prosthesis to perform reach-and-grasp tasks while reacting to audio cues (dual tasking). The results demonstrated that, compared to the manual baseline (volitional control only), all three SA modalities accomplished the task in a shorter time and resulted in less volitional control input. The simultaneous SA modality performed worse than the sequential and continuous SA approaches. When systematic errors were introduced in the autonomous controller to generate a mismatch between the goals of the user and controller, the performance of SA modalities substantially decreased, even below the manual baseline. The sequential SA scheme was the least impacted one in terms of errors. The present study demonstrates that a specific approach for integrating volitional and autonomous control is indeed an important factor that significantly affects the performance and physical and cognitive load, and therefore these should be considered when designing SA prostheses."],["dc.identifier.doi","10.3389/fnbot.2021.768619"],["dc.identifier.eissn","1662-5218"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/98918"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-517"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","1662-5218"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Impact of Shared Control Modalities on Performance and Usability of Semi-autonomous Prostheses"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2547"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Experimental Brain Research"],["dc.bibliographiccitation.lastpage","2559"],["dc.bibliographiccitation.volume","235"],["dc.contributor.author","De Nunzio, Alessandro Marco"],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Lemling, Sabrina"],["dc.contributor.author","Markovic, Marko"],["dc.contributor.author","Schweisfurth, Meike Annika"],["dc.contributor.author","Ge, Nan"],["dc.contributor.author","Graimann, Bernhard"],["dc.contributor.author","Falla, Deborah"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2019-07-09T11:44:27Z"],["dc.date.available","2019-07-09T11:44:27Z"],["dc.date.issued","2017"],["dc.description.abstract","Grasping is a complex task routinely performed in an anticipatory (feedforward) manner, where sensory feedback is responsible for learning and updating the internal model of grasp dynamics. This study aims at evaluating whether providing a proportional tactile force feedback during the myoelectric control of a prosthesis facilitates learning a stable internal model of the prosthesis force control. Ten able-bodied subjects controlled a sensorized myoelectric prosthesis performing four blocks of consecutive grasps at three levels of target force (30, 50, and 70%), repeatedly closing the fully opened hand. In the first and third block, the subjects received tactile and visual feedback, respectively, while during the second and fourth block, the feedback was removed. The subjects also performed an additional block with no feedback 1 day after the training (Retest). The median and interquartile range of the generated forces was computed to assess the accuracy and precision of force control. The results demonstrated that the feedback was indeed an effective instrument for the training of prosthesis control. After the training, the subjects were still able to accurately generate the desired force for the low and medium target (30 and 50% of maximum force available in a prosthesis), despite the feedback being removed within the session and during the retest (low target force). However, the training was substantially less successful for high forces (70% of prosthesis maximum force), where subjects exhibited a substantial loss of accuracy as soon as the feedback was removed. The precision of control decreased with higher forces and it was consistent across conditions, determined by an intrinsic variability of repeated myoelectric grasping. This study demonstrated that the subject could rely on the tactile feedback to adjust the motor command to the prosthesis across trials. The subjects adjusted the mean level of muscle activation (accuracy), whereas the precision could not be modulated as it depends on the intrinsic myoelectric variability. They were also able to maintain the feedforward command even after the feedback was removed, demonstrating thereby a stable learning, but the retention depended on the level of the target force. This is an important insight into the role of feedback as an instrument for learning of anticipatory prosthesis force control."],["dc.identifier.doi","10.1007/s00221-017-4991-7"],["dc.identifier.pmid","28550423"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14765"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59015"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Tactile feedback is an effective instrument for the training of grasping with a prosthesis at low- and medium-force levels"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","120357"],["dc.bibliographiccitation.journal","Computational and Mathematical Methods in Medicine"],["dc.contributor.author","Jorgovanovic, Nikola"],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Djozic, Damir J."],["dc.contributor.author","Krajoski, Goran"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T09:46:47Z"],["dc.date.available","2018-11-07T09:46:47Z"],["dc.date.issued","2014"],["dc.description.abstract","Closing the control loop by providing somatosensory feedback to the user of a prosthesis is a well-known, long standing challenge in the field of prosthetics. Various approaches have been investigated for feedback restoration, ranging from direct neural stimulation to noninvasive sensory substitution methods. Although there are many studies presenting closed-loop systems, only a few of them objectively evaluated the closed-loop performance, mostly using vibrotactile stimulation. Importantly, the conclusions about the utility of the feedback were partly contradictory. The goal of the current study was to systematically investigate the capability of human subjects to control grasping force in closed loop using electrotactile feedback. We have developed a realistic experimental setup for virtual grasping, which operated in real time, included a set of real life objects, as well as a graphical and dynamical model of the prosthesis. We have used the setup to test 10 healthy, able bodied subjects to investigate the role of training, feedback and feedforward control, robustness of the closed loop, and the ability of the human subjects to generalize the control to previously \"unseen\" objects. Overall, the outcomes of this study are very optimistic with regard to the benefits of feedback and reveal various, practically relevant, aspects of closed-loop control."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2014"],["dc.identifier.doi","10.1155/2014/120357"],["dc.identifier.isi","000330402200001"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/9756"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/34964"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Hindawi Publishing Corporation"],["dc.relation.issn","1748-6718"],["dc.relation.issn","1748-670X"],["dc.rights","CC BY 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0"],["dc.title","Virtual Grasping: Closed-Loop Force Control Using Electrotactile Feedback"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","290"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","IEEE Transactions on Neural Systems and Rehabilitation Engineering"],["dc.bibliographiccitation.lastpage","301"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","D'Alonzo, Marco"],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Cipriani, Christian"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T09:42:44Z"],["dc.date.available","2018-11-07T09:42:44Z"],["dc.date.issued","2014"],["dc.description.abstract","Electro- or vibro-tactile stimulations were used in the past to provide sensory information in many different applications ranging from human manual control to prosthetics. The two modalities were used separately in the past, and we hypothesized that a hybrid vibro-electrotactile (HyVE) stimulation could provide two afferent streams that are independently perceived by a subject, although delivered in parallel and through the same skin location. We conducted psychophysical experiments where healthy subjects were asked to recognize the intensities of electro- and vibro-tactile stimuli during hybrid and single modality stimulations. The results demonstrated that the subjects were able to discriminate the features of the two modalities within the hybrid stimulus, and that the cross-modality interaction was limited enough to allow better transmission of discrete information (messages) using hybrid versus single modality coding. The percentages of successful recognitions (mean +/- standard deviation) for nine messages were 56 +/- 11% and 72 +/- 8% for two hybrid coding schemes, compared to 29 +/- 7% for vibrotactile and 44 +/- 4% for electrotactile coding. The HyVE can be therefore an attractive solution in numerous application for providing sensory feedback in prostheses and rehabilitation, and it could be used to increase the resolution of a single variable or to simultaneously feedback two different variables."],["dc.identifier.doi","10.1109/TNSRE.2013.2266482"],["dc.identifier.isi","000342078300010"],["dc.identifier.pmid","23782817"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/34023"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Ieee-inst Electrical Electronics Engineers Inc"],["dc.relation.issn","1558-0210"],["dc.relation.issn","1534-4320"],["dc.title","HyVE: Hybrid Vibro-Electrotactile Stimulation for Sensory Feedback and Substitution in Rehabilitation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","181"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","IEEE Transactions on Haptics"],["dc.bibliographiccitation.lastpage","190"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","D'Alonzo, Marco"],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Cipriani, Christian"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T09:41:31Z"],["dc.date.available","2018-11-07T09:41:31Z"],["dc.date.issued","2014"],["dc.description.abstract","An important reason for the abandonment of commercial actuated hand prostheses by the users is the lack of sensory feedback. Wearable afferent interfaces capable of providing electro- or vibro-tactile stimulation have high potential to restore the missing tactile and/or proprioceptive information to the user. By definition, these devices can elicit single modality (i.e., either vibrotactile or electrotactile) substitute sensations. In a recent research we have presented a novel approach comprising hybrid vibro-electrotactile (HyVE) combined stimulation, in order to provide multimodal sensory feedback. An important advantage of this approach is in the size of the design: the HyVE interface is much more compact than two separated single-modality interfaces, since electro- and vibro-tactile stimulators are placed one on top of the other. The HyVE approach has been previously tested in healthy subjects and has shown to provide a range of hybrid stimuli that could be properly discriminated. However, this approach has never been assessed as a method to provide multi-channel stimuli, i.e., stimuli from a variety of stimulators, mapping information from a multitude of sensors on a prosthesis. In this study, the ability of ten healthy subjects to discriminate stimuli and patterns of stimuli from four different five-channel interfaces applied on their forearms was evaluated. We showed that multiple HyVE units could be used to provide multi-channel sensory information with equivalent performance (similar to 95 percent for single stimuli and similar to 80 percent for pattern) to single modality interfaces (vibro- or electro-tactile) larger in size and with better performance than vibrotactile interfaces (i.e., 73 percent for single stimuli and 69 percent for pattern) with the same size. These results are promising in relation to the current availability of multifunctional prostheses with multiple sensors."],["dc.identifier.doi","10.1109/TOH.2013.52"],["dc.identifier.isi","000338514200009"],["dc.identifier.pmid","24968382"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/33751"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Ieee Computer Soc"],["dc.relation.issn","2329-4051"],["dc.relation.issn","1939-1412"],["dc.title","HyVE-Hybrid Vibro-Electrotactile Stimulation-Is an Efficient Approach to Multi-Channel Sensory Feedback"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","645"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","IEEE Transactions on Haptics"],["dc.bibliographiccitation.lastpage","654"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Wilke, Meike A."],["dc.contributor.author","Hartmann, Cornelia"],["dc.contributor.author","Schimpf, Felix"],["dc.contributor.author","Farina, Dario"],["dc.contributor.author","Dosen, Strahinja"],["dc.date.accessioned","2021-04-14T08:25:30Z"],["dc.date.available","2021-04-14T08:25:30Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1109/TOH.2019.2961652"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81647"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","2329-4051"],["dc.relation.eissn","2334-0134"],["dc.relation.issn","1939-1412"],["dc.title","The Interaction Between Feedback Type and Learning in Routine Grasping With Myoelectric Prostheses"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of NeuroEngineering and Rehabilitation"],["dc.bibliographiccitation.volume","16"],["dc.contributor.author","Wilke, Meike Annika"],["dc.contributor.author","Niethammer, Christian"],["dc.contributor.author","Meyer, Britta"],["dc.contributor.author","Farina, Dario"],["dc.contributor.author","Dosen, Strahinja"],["dc.date.accessioned","2020-12-10T18:39:01Z"],["dc.date.available","2020-12-10T18:39:01Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1186/s12984-019-0622-9"],["dc.identifier.eissn","1743-0003"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17235"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77512"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Psychometric characterization of incidental feedback sources during grasping with a hand prosthesis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","498"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","IEEE Transactions on Neural Systems and Rehabilitation Engineering"],["dc.bibliographiccitation.lastpage","507"],["dc.bibliographiccitation.volume","28"],["dc.contributor.author","Markovic, Marko"],["dc.contributor.author","Varel, Marc"],["dc.contributor.author","Schweisfurth, Meike A."],["dc.contributor.author","Schilling, Arndt F."],["dc.contributor.author","Dosen, Strahinja"],["dc.date.accessioned","2021-04-14T08:27:31Z"],["dc.date.available","2021-04-14T08:27:31Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1109/TNSRE.2019.2959714"],["dc.identifier.eissn","1558-0210"],["dc.identifier.issn","1534-4320"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82316"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1558-0210"],["dc.relation.issn","1534-4320"],["dc.title","Closed-Loop Multi-Amplitude Control for Robust and Dexterous Performance of Myoelectric Prosthesis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2133"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","IEEE Transactions on Neural Systems and Rehabilitation Engineering"],["dc.bibliographiccitation.lastpage","2145"],["dc.bibliographiccitation.volume","25"],["dc.contributor.author","Strbac, Matija"],["dc.contributor.author","Isakovic, Milica"],["dc.contributor.author","Belic, Minja"],["dc.contributor.author","Popovic, Igor"],["dc.contributor.author","Simanic, Igor"],["dc.contributor.author","Farina, Dario"],["dc.contributor.author","Keller, Thierry"],["dc.contributor.author","Dosen, Strahinja"],["dc.date.accessioned","2020-12-10T18:26:21Z"],["dc.date.available","2020-12-10T18:26:21Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1109/TNSRE.2017.2712287"],["dc.identifier.eissn","1558-0210"],["dc.identifier.issn","1534-4320"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/76052"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Short- and Long-Term Learning of Feedforward Control of a Myoelectric Prosthesis with Sensory Feedback by Amputees"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]